COURSE UNIT TITLE

Offered By

Public Administration

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR YAKUP ÖZKAYA

Offered to

Public Administration

Course Objective

The main objective of this module is to examine the effects of artificial intelligence on urban management and environmental policies in the discipline of public administration, to analyze the opportunities and risks of artificial intelligence technologies in the context of environmental sustainability and to contribute to the development of sustainable urban and environmental management policies from a public administration perspective.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Avcı, Erdi (2023). "Digital Transformation and Smart City Applications in Local Governments: Various Discussions." Journal of Economics, Business, Politics and International Relations, 5(3), 112-135.
Batty, Michael. (2018). "Artificial intelligence and smart cities." Environment and Planning B: Urban Analytics and City Science, 45(1), 3-6.
Bibri, Simon E., Alahi, Alexandre, Sharifi, Ayyoob, & Krogstie, John. (2023). "Environmentally sustainable smart cities and their converging smart technologies." Journal of Energy and Environment, 12(4), 56-77.
Cong, C., Page, J., Kwak, Y., Deal, B., & Kalantari, Z. (2024). "AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications." Urban Science, 8(3), Article 104.
Cowls, Josh, Tsamados, Andreas, Taddeo, Mariarosaria, & Floridi, Luciano. (2023). "The AI gambit: leveraging artificial intelligence to combat climate change - opportunities and risks." Sustainability, 16(23), 345-362.
Cugurullo, Federico (2020). "Urban Artificial Intelligence: From Automation to Autonomy in the Smart City." Frontiers in Sustainable Cities, 2, Article 38.
Cong, C., Page, J., Kwak, Y., Deal, B., & Kalantari, Z. (2024). "AI analytics for carbon-neutral city planning: a systematic review." Urban Science, 8(3), Article 109.
Dasgupta, Partha. (2022). The Economics of Biodiversity: AI and Sustainability Challenges. Cambridge University Press.
Floridi, Luciano. (2021). Artificial Intelligence Ethics, Yapı Kredi Publications, Istanbul.
Güven, Ahmet. (2024). "The Effects of Artificial Intelligence Applications on Urban and Environmental Management: A Review from the Perspective of Public Administration." Journal of Public Administration and Technology, 8(2), 47-69.
Issa, Federico. (2020). "Urban artificial intelligence: challenges and opportunities for smart cities." Frontiers in Sustainable Cities, 2, Article 38.
Ma, Dan. (2025). "The impact of artificial intelligence on urban carbon emissions management." Sustainability and Urban Planning Journal, 16(1), 75-91.
OECD. (2022). Artificial Intelligence and the Environment: Policy Perspectives. OECD Publishing.
Russel, Stuart, & Norvig, Peter. (2022). Artificial Intelligence: A Modern Approach. Ankara: Nobel Publications.
Şen, Ebru. (2023). "Managerial and Ecological Perspectives of Artificial Intelligence and Smart Cities." Turkish Journal of Urban Research, 4(1), 111-129.
Şen, Ebru. (2023). "Administrative Dimension of the Use of Artificial Intelligence in City Management and Ethical Problems." Journal of Turkish Administrative Research, 2(2), 23-42.
UN-Habitat. (2023). Artificial Intelligence and Cities: Sustainable Development Challenges and Opportunities, UN Publishing.

Planned Learning Activities and Teaching Methods

Methods and Techniques
- Narration
- Presentations
- Discussion and brainstorming
- Case study analysis
- Group work

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yakup.ozkaya@deu.edu.tr

Office Hours

Thursday 14.00/ 17.00

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes